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TensorFlow TFLite Debugger

🇺🇸 United States
Anh Nguyen  | 
52
ASO score
Text
77/100
Reviews
50/100
Graphic
18/100
Other
0/100
rating
App Rating
5
rating
Votes
2
rating
App Age
1 year 10m
rating
Last Update
Aug 07, 2024

Compare with Category Top Apps

Metrics
Current App
Category Top Average
Difference
Rating
5
4.25
+18%
Number of Ratings (Voted)
1
11.8K
-100%
App Age
1y 10m
5y 11m
-69%
In-app Purchases Price
$0
$122
Update Frequency
217d
209d
+4%
Title Length
26
19
+37%
Subtitle Length
30
24
+25%
Description Length
1 969
1 885
+4%
Number of Screenshots
3
6
-51 %
Size
11MB
152MB
-93 %

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Ranking Keywords in United States

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Text ASO

Title (
Characters: 26 of 30
)
TensorFlow TFLite Debugger
Subtitle (
Characters: 30 of 30
)
Debug and Test TensorFlow Lite
Description (
Characters: 1969 of 4000
)
The TFLite Debugger app is an essential tool for iOS developers and machine learning enthusiasts who want to streamline their TensorFlow Lite model debugging and testing processes on iOS devices. This powerful and intuitive app empowers you to effortlessly evaluate, validate, and optimize TensorFlow Lite models, ensuring their seamless integration into your iOS applications. Key Features: 1. Model Evaluation: With the TensorFlow Lite Debug and Test App, you can easily load and evaluate your TensorFlow Lite models directly on your iOS device. This allows you to quickly assess the performance of your models in a real-world environment. 2. Model Testing: Debugging TensorFlow Lite models becomes effortless with the app's interactive testing capabilities. Seamlessly import models from local storage or the Files app, simplifying integration and allowing you to identify and resolve issues effectively. 3. Performance Analysis: Assess the performance of your TensorFlow Lite models using detailed metrics provided by the app. Measure parameters like inference time, disk and memory usage to optimize your models and ensure optimal performance on iOS devices. 4. User-Friendly Interface: The app provides an intuitive and user-friendly interface, making it easy for both beginners and experienced developers to navigate and utilize its powerful features. 5. Offline Capability: Enjoy the convenience of using the app even in offline environments. No constant internet connection is required, ensuring uninterrupted development and testing. Whether you're a professional iOS developer working on machine learning projects or a hobbyist exploring the possibilities of TensorFlow Lite, the TFLite Debugger App is an indispensable companion. Streamline your debugging and testing process, enhance model performance, and deliver cutting-edge machine learning experiences on iOS devices. Download the app now and unlock the full potential of TFLite Debugger on iOS!}
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Rating & Reviews

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Rating
5
2 voters

Some Latest Reviews

Other

Additional Information
Rating:
5
Voted: 2
App Store Link:
Website:
Email: -
Privacy Policy:
Categories: Developer Tools
Size: 10MB
App Age: 1 year 10 months
Release Date: May 09, 2023
Last Update: Aug 07, 2024
Version: 1.2
Version history
1.2
Aug 07, 2024
* Update TensorFlow Lite to v2.17. * This update brings bug fixes and performance improvements, ensuring a smoother and more reliable experience.
1.1
Sep 04, 2023
* This update brings bug fixes and performance improvements, ensuring a smoother and more reliable experience. * Update TensorFlow Lite to v2.13.
Version history